{"title":"Gender differences in virtual collaboration effectiveness in hybrid teams","authors":"N. Sharon Hill , Maria Ximena Hincapie","doi":"10.1016/j.im.2025.104107","DOIUrl":"10.1016/j.im.2025.104107","url":null,"abstract":"<div><div>The growing popularity of hybrid work has fueled the growth of teams with substantial reliance on virtual communication (i.e., interactions using computer-mediated communication rather than in person). Across two studies with self-managing hybrid teams, we apply a social role theory perspective to show women's tendency to be more effective virtual collaborators than men. We also find that a team member's virtual teamwork situational judgment—knowledge about formulating effective responses to virtual collaboration demands—mediates this effect. Our findings highlight the importance of a gender perspective in understanding virtual collaboration dynamics to promote successful teamwork in the increasingly digital workplace.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 3","pages":"Article 104107"},"PeriodicalIF":8.2,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuting Wang , Jie Fang , Bojue Xu , Shuning Zheng , Zhao Cai
{"title":"Disentangling the impact of vendor in-role and extra-role performance on client citizenship behavior in enterprise system projects: A response surface analysis","authors":"Yuting Wang , Jie Fang , Bojue Xu , Shuning Zheng , Zhao Cai","doi":"10.1016/j.im.2025.104104","DOIUrl":"10.1016/j.im.2025.104104","url":null,"abstract":"<div><div>Client citizenship behaviors (CCBs) are prominent to enterprise system vendors to improve service. This study delves into the examination of how vendor's in-role and extra-role performance jointly impact CCBs. Employing polynomial regression and response surface analysis, this research scrutinizes the impacts of the congruence and incongruence between the vendor's in-role and extra-role performance as well as the boundary condition of environmental dynamism. The findings indicate that the CCBs are higher when in-role performance matches extra-role performance at a high level. Furthermore, when employees' in-role and extra-role performance are incongruent, CCBs decrease as the discrepancy increases. Environmental dynamism moderates these relationships.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104104"},"PeriodicalIF":8.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating technology in physical classrooms: The impact of game-based response systems on student learning experience","authors":"Anna Priante, Dimitrios Tsekouras","doi":"10.1016/j.im.2025.104105","DOIUrl":"10.1016/j.im.2025.104105","url":null,"abstract":"<div><div>This study examines the impact of game-based student response systems (GSRSs) on students’ learning experiences in face-to-face education. Building on technology-mediated learning and active learning, we demonstrate the positive impact of GSRS use on learning outcomes and learning processes (student motivation, concentration, and enjoyment) in a field experiment in a Dutch secondary school. Our study expands information systems research by showing the educational and social impact of technology integration in physical classrooms and its equalizing role in bridging the performance disparity between underperforming and overperforming students while promoting an inclusive learning environment for all students.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 3","pages":"Article 104105"},"PeriodicalIF":8.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Addressing bias in generative AI: Challenges and research opportunities in information management","authors":"Xiahua Wei , Naveen Kumar , Han Zhang","doi":"10.1016/j.im.2025.104103","DOIUrl":"10.1016/j.im.2025.104103","url":null,"abstract":"<div><div>Generative AI technologies, particularly Large Language Models (LLMs), have transformed information management systems but introduced substantial biases that can compromise their effectiveness in informing business decision-making. This challenge presents information management scholars with a unique opportunity to advance the field by identifying and addressing these biases across extensive applications of LLMs. Building on the discussion on bias sources and current methods for detecting and mitigating bias, this paper seeks to identify gaps and opportunities for future research. By incorporating ethical considerations, policy implications, and sociotechnical perspectives, we focus on developing a framework that covers major stakeholders of Generative AI systems, proposing key research questions, and inspiring discussion. Our goal is to provide actionable pathways for researchers to address bias in LLM applications, thereby advancing research in information management that ultimately informs business practices. Our forward-looking framework and research agenda advocate interdisciplinary approaches, innovative methods, dynamic perspectives, and rigorous evaluation to ensure fairness and transparency in Generative AI-driven information systems. We expect this study to serve as a call to action for information management scholars to tackle this critical issue, guiding the improvement of fairness and effectiveness in LLM-based systems for business practice.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104103"},"PeriodicalIF":8.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The moderating role of employment contract in the relationship between technology overload and employee silence","authors":"Martijn Jungst , Cedric Verbeeck","doi":"10.1016/j.im.2025.104101","DOIUrl":"10.1016/j.im.2025.104101","url":null,"abstract":"<div><div>This study examines whether emotional exhaustion mediates the effect of technology overload on two types of employee silence: defensive and acquiescent. We also examine whether employment contracts (part-time/full-time) interact with technology overload to influence emotional exhaustion and subsequently the two types of employee silence. Based on data collected from 210 employees working in different organizations, the results indicate that technology overload is positively associated with employee silence (defensive and acquiescent) and that emotional exhaustion mediates this direct effect. However, the effects of technology overload are less pronounced for part-time employees than for full-time employees.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104101"},"PeriodicalIF":8.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Self-disclosure in online social networks: The needs-affordances-features perspective","authors":"Zhenxin Xiao , Xiang Gong , Christy M.K. Cheung","doi":"10.1016/j.im.2025.104102","DOIUrl":"10.1016/j.im.2025.104102","url":null,"abstract":"<div><div>Drawing on affordance theory and the needs–affordances–features (NAF) perspective, this paper examines the impacts of online social network (OSN) affordances and psychological ownership on users’ self-disclosure. Through the analysis of data collected from a field survey and a scenario-based experiment, we found that accessibility, information retrieval, editability, and association affordances positively affect psychological ownership, which further determines users’ self-disclosure on OSNs. This paper not only advances the understanding of OSN self-disclosure by emphasizing the significance of OSN affordances and psychological ownership but also offers practical insights for OSN providers to enhance self-disclosure by designing effective affordances.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104102"},"PeriodicalIF":8.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The double-edged sword effect of algorithmic transparency: An empirical study of gig workers’ work disengagement under algorithmic management","authors":"Yuni Li , Ling Zhao , Cuicui Cao , Dongshan Yang","doi":"10.1016/j.im.2025.104100","DOIUrl":"10.1016/j.im.2025.104100","url":null,"abstract":"<div><div>To mitigate algorithmic management's negative impacts on gig workers, gig economy platforms have begun to make their algorithms transparent. Prior studies have mostly focused on how the intensity of algorithmic management influences workers’ job outcomes while have neglected algorithms’ transparency features. To fill this gap, our study draws on the job demands–resources (JD-R) model by viewing algorithmic management as a job demand and conceptualizing purpose and process transparency as different job resources. The empirical findings show the direct positive effects of algorithmic management, purpose and process transparency on challenge appraisal, which in turn alleviate gig workers’ work disengagement. Interestingly, empirical results demonstrated that purpose and process transparency exert different moderating effects on the relationship between algorithmic management and challenge appraisal: While purpose transparency strengthens the positive relationship, process transparency weakens it. Our results enrich prior information systems research on algorithmic management and transparency as well as on the JD-R model.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104100"},"PeriodicalIF":8.2,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenting Wang , Rick D. Hackett , Norm Archer , Zhengchuan Xu , Yufei Yuan
{"title":"Will AI-enabled conversational agents acting as digital employees enhance employee job identity?","authors":"Wenting Wang , Rick D. Hackett , Norm Archer , Zhengchuan Xu , Yufei Yuan","doi":"10.1016/j.im.2025.104099","DOIUrl":"10.1016/j.im.2025.104099","url":null,"abstract":"<div><div>Artificial Intelligence (AI)-enabled conversational agents (CAs) increasingly transform online customer service by acting as frontline workers. Understanding employees' attitudes toward these digital colleagues is crucial, as CAs blur the boundaries between human and machine roles. However, existing research often views CAs merely as tools rather than digital employees, neglecting their impact on employees' psychological drivers, such as job identity. This study introduces the perception of CAs as digital employees and develops a Job Identity Enhancement model to examine how human employees' job identity is influenced by their experience working with intelligent CAs. Empirical validation through a survey of frontline service workers reveals that the employees' perceptions of CA autonomy and learning capabilities enhance their job variety and job control, ultimately boosting their job identity and organizational commitment.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104099"},"PeriodicalIF":8.2,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indika Dissanayake , Sridhar P. Nerur , Roman Lukyanenko , Minoo Modaresnezhad
{"title":"The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach","authors":"Indika Dissanayake , Sridhar P. Nerur , Roman Lukyanenko , Minoo Modaresnezhad","doi":"10.1016/j.im.2025.104098","DOIUrl":"10.1016/j.im.2025.104098","url":null,"abstract":"<div><div>Crowdsourcing effectively harnesses diverse skills and perspectives of crowds beyond organizational, geographical, and cultural boundaries. Organizations are gaining invaluable insights through crowdsourcing across diverse domains. This study reviews the growing academic literature on crowdsourcing using advanced topic modeling, an approach to unraveling key themes latent in the literature. Following a systems approach, we adopted inter- and intra-systems perspectives to identify distinct crowdsourcing models and their interrelated components based on a text analysis of the crowdsourcing literature. The paper elucidates the intellectual foundations of crowdsourcing as represented in the literature and offers suggestions for pursuing research that will extend its conceptual boundaries.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104098"},"PeriodicalIF":8.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuting Jiang , Mengyao Fu , Jie Fang , Matti Rossi , Yuting Wang , Chee-Wee Tan
{"title":"Advancing an LDA-GMM-CorEx topic model with prior domain knowledge in information systems research","authors":"Yuting Jiang , Mengyao Fu , Jie Fang , Matti Rossi , Yuting Wang , Chee-Wee Tan","doi":"10.1016/j.im.2024.104097","DOIUrl":"10.1016/j.im.2024.104097","url":null,"abstract":"<div><div>Embedding topic models with domain knowledge is deemed to be effective in bolstering the models’ interpretability. Nevertheless, contemporary topic modeling techniques introduced in past studies lack consideration for circumstances in which prior domain knowledge either does not exist or becomes obsolete quickly. Combining the latent Dirichlet allocation (LDA) with the Gaussian mixture model (GMM) and the anchor correlation explanation (CorEx) topic model, we advanced a novel LDA-GMM-CorEx topic modeling approach to enhance the domain knowledge model's adaptability and improve the interpretability of topic modeling. We further verified the effectiveness of our proposed topic modeling approach on two separate datasets from different domains, thereby attesting to its general applicability.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104097"},"PeriodicalIF":8.2,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}